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Noor Hossam

@noorhossam

Machine learning engineer focused on end-to-end AI solutions, deployment, and data-driven insights.

Egypt
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What I'm looking for

I seek a role building and deploying ML/AI systems in a collaborative team, with mentorship opportunities and pathways toward research or postgraduate growth.

I am a computer and control engineering graduate with hands-on experience building and deploying end-to-end machine learning solutions, including classification, regression, and production deployments using Flask and Django. I completed internships and intensive training in AI, machine learning, deep learning, and data analytics, and led projects such as hotel reservation classification, Uber fare prediction, handwriting recognition, customer churn prediction, and a CNN-based skin disease detection graduation project.

I combine practical deployment experience with strong data analysis skills—proficient in Python, SQL, Power BI and model development using TensorFlow/Keras—while mentoring peers and contributing to team goals. I am passionate about advancing AI research, pursuing postgraduate studies, and delivering impactful, production-ready intelligent systems.

Experience

Work history, roles, and key accomplishments

CT

Machine Learning Intern

Cellula Technologies

Jul 2025 - Aug 2025 (1 month)

Developed and deployed end-to-end ML solutions for classification and regression, including a hotel reservation classification system and an Uber fare prediction model, and deployed models via Flask and Django to production.

Education

Degrees, certifications, and relevant coursework

HA

Higher Institute of Engineering, Shorouk Academy

Bachelor of Science, Computer and Control Engineering

2019 - 2024

Grade: Very Good (Cumulative: Good)

Activities and societies: Graduation project: Skin Disease Detection Using Convolutional Neural Networks (EfficientNet B1/B2, preprocessing, ensemble).

Bachelor of Science in Computer and Control Engineering with a graduation project on skin disease detection using CNNs, applying EfficientNet, preprocessing, and ensemble methods.

Tech stack

Software and tools used professionally

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Noor Hossam - Machine Learning Intern - Cellula Technologies | Himalayas